• See Google drive link below
• https://drive.google.com/file/d/1I6ALWbD7doapPB-b-P0-SgY6GUV1LIzk/view?usp=sharing
• Use Recode into different variables to make a new variable that classifies the income variable into high and low categories. High income is defined as $50,000 (categories 19-23) and low income is defined as < $50,000 (categories 1-18). Note that income variable has missing values and you will need to identify them as such (categories 0, 24, 98, 99). add labels to your new variable. To show that you have calculated the variable correctly, provide a basic frequency table showing how many subjects are in each of the 3 groups (high income, low income and missing). I need to enter the missing values in the variable view tab to let SPSS know they are missing.
• What is the mean number of hours of internet usage for high and low income groups? Include one appropriate table from SPSS to show this. What is the average difference between the two groups (this one you need to calculate by hand)?
• Run an appropriate test to determine if there is a significant difference in the average hours of internet usage between high and low income people. Use an alpha = 0.05 to determine statistical significance
• I need to State your null and alternative hypotheses.
• I need a brief summary of your results. Be sure to include the test statistic, the p-value, and to formally state your conclusion in the context of the problem. (You don't need to include any tables from the output, but can for your own notes if you'd like).
• Would this same test have been statistically significant at the 99% confidence level? Explain please